Semantic Web Services are the key technology providing services for the users’ convenience in the semantic web environment. Many companies in various fields are researching and d...
In this paper, we introduce a semi-automatable method aimed to find the business multidimensional concepts from an ontology representing the organization domain. With these premis...
Abstract. A clustering method is presented which can be applied to relational knowledge bases. It can be used to discover interesting groupings of resources through their (semantic...
Ontologies and reasoning are the key terms brought into focus by the semantic web community. Formal representation of ontologies in a common data model on the web can be taken as a...
The increasing number of personal digital photos on the Web makes their management, retrieval and visualization a difficult task. To annotate these images using Semantic Web techno...
A new application of tuple-space-based coordination systems is in knowledge communication and representation. This knowledge is being published on the Web (the so-called “Semant...
Lyndon J. B. Nixon, Robert Tolksdorf, Alan Wood, R...
The goal of Semantic Web research is to transform the Web from a linked document repository into a distributed knowledge base and application platform, thus allowing the vast rang...
Semantic Web Services, one of the most significant research areas within the Semantic Web vision, has attracted increasing attention from both the research community and industry...
Hai H. Wang, Nick Gibbins, Terry R. Payne, Ahmed S...
Ontologies have been shown to be beneficial for representing domain knowledge, and are quickly becoming the backbone of the Semantic Web. The need for ontology ranking techniques ...
Agent training techniques study methods to embed empirical, inductive knowledge representations into intelligent agents, in dynamic, recursive or semi-automated ways, expressed in...